Sep 23–26, 2019

Brian Keng
Chief Data Scientist, Rubikloud

Brian Keng is the chief data scientist at Rubikloud, where he leads a team building out intelligent enterprise solutions for some of the world’s largest retail organizations. Brian is a big fan of Bayesian statistics, but his main professional focus is building out scalable machine learning systems that seamlessly integrate into traditional software solutions. Previously, Brian was at Sysomos, leading a team of data scientists performing large-scale social media analytics, working with datasets such as the Twitter firehouse. He earned his PhD in computer engineering from the University of Toronto, during which time he was an early employee of a startup that commercialized some of his research.

Sessions

11:20am–12:00pm Thursday, September 26, 2019

Location: 3B - Expo Hall

ML is not enough: Decision automation in the real world

Data Science, Machine Learning, & AI, Expo Hall

Secondary topics: Culture and Organization, Retail and e-commerce, Transportation and Logistics

Brian Keng (Rubikloud)

Automating decisions require a system to consider more than just a data-driven prediction. Real-world decisions require additional constraints and fuzzy objectives to ensure they're robust and consistent with business goals. Brian Keng takes a deep dive into how to leverage modern machine learning methods and traditional mathematical optimization techniques for decision automation. Read more.